Amp

Amp

Amp Code
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About

Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.

About

Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Amp is built for professional software developers, engineers, and technical teams who want an advanced AI coding agent to handle complex codebases, accelerate development, and enable more ambitious engineering workflows

Audience

Engineering teams and AI infrastructure leaders that need a centralized gateway to run coding agents, route across models, reduce LLM costs, and manage AI development usage at scale

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.7 / 5
ease 4.7 / 5
features 4.3 / 5
design 4.0 / 5
support 4.7 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Good integration with Pycharm, unit tests support, solving quickly programming challenges. The biggest pros -> reading whole source code project and proposing the answer based on the rest of the code.
  • Takes the context of your code to give you answers, the vscode extension is awesome and support was incredibly fast when I had an issue.
  • Amp was easy to get started with and it's very intuitive to use. This has been a nice alternative to coding with ChatGPT up in a browser where I have to copy and paste my code back and forth. I'm a big fan of the preset prompts as there are a few I would never have thought of asking.

Cons

  • Not following the pattern in a single chat even. F.ex. if I polish the tests to be using that framework or that way to mock it for one set of tests, for next method, it is forgetting my earlier "style".
  • Sometimes the context is not that accurate, and the latest version came out bugged
  • Not too many drawbacks outside of the general limitations of the AI. There have been a couple of times I've asked it to rewrite code for me and I had to prompt it to get it to give me an example in actual code vs just advice about how to improve the code.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Amp Code
United States
ampcode.com

Company Information

Kimchi
United States
kimchi.dev/

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Cline

Cline

Cline AI Coding Agent
Kimi Code CLI

Kimi Code CLI

Moonshot AI
OpenCode

OpenCode

Anomaly Innovations
Claude Code

Claude Code

Anthropic
Amp

Amp

Amp Code

Categories

Agentic AI Supported
AI Code Generators Supported
AI Code Review Supported
AI Coding Agents Supported
AI Tools Supported
Vibe Coding Supported

Categories

Integrations

Cursor Supported
Gemini Supported
OpenAI Supported
Claude Fable 5 Supported
Claude Opus 4.5 Supported
Claude Opus 5.5 Supported
Emdash Supported
GPT-4o Supported
GPT-5.3 Instant Supported
GPT-5.6 Sol Ultrafast Supported
Gemini 3 Pro Supported
Haskell Supported
Lua Supported
OpenAI Bel Supported
OpenCode Not Supported
PyCharm Supported
Swift Supported
TypeScript Supported
YAML Supported
ui.sh Supported

Integrations

Cursor Supported
Gemini Supported
OpenAI Supported
Claude Fable 5 Not Supported
Claude Opus 4.5 Not Supported
Claude Opus 5.5 Not Supported
Emdash Not Supported
GPT-4o Not Supported
GPT-5.3 Instant Not Supported
GPT-5.6 Sol Ultrafast Not Supported
Gemini 3 Pro Not Supported
Haskell Not Supported
Lua Not Supported
OpenAI Bel Not Supported
OpenCode Supported
PyCharm Not Supported
Swift Not Supported
TypeScript Not Supported
YAML Not Supported
ui.sh Not Supported
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